Timo
Mac Productivity Tool: Clipboard, Screenshot & More
What it does
Independent Mac apps for clipboard history, desktop productivity, screenshots, app/file search, and a playful desktop pet. The desktop pet plays cute random emoji at the top of every hour and uses expressions to remind you when it's mealtime.
Independent Mac apps for clipboard history, desktop productivity, screenshots, app search, and a playful desktop pet.
Home to thoughtfully crafted applications, interactive experiments, and quietly inspiring creative tools. Boost your Mac productivity with Timo — the app designed to understand exactly what you need. APeteLab creates native-feeling macOS utilities and productivity apps for everyday work. Each product is designed to solve a focused problem, stay out of the way until needed, and respect the data that belongs on your Mac. Explore our growing collection of independent Mac apps for clipboard management, search, capture, organization, and other everyday workflows. Small observations from product design, release work, and interface experiments. Function over form: solving real problems without…from apetelab.com
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The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com

The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com